TECHNICAL FIELD
[0001] The present invention relates to the field of IT technologies, and in particular,
to a data reconstruction method in a distributed storage system, an apparatus, and
a system.
BACKGROUND
[0002] To ensure data security in a storage system, a multi-copy storage technology is generally
used to implement data redundancy backup. With the multi-copy redundancy technology,
multiple same copies of data are stored, and when a piece of data is lost, the lost
data can be restored by using data in another copy, so as to reduce a data loss probability.
A rise in a quantity of copies greatly increases consumption of system storage space
and network bandwidth, resulting in an increase of data storage costs. If there are
two copies, space actually available for a user is 50% of total storage space of an
entire system. If there are three copies, space actually available for the user is
only 33%.
[0003] Because of a waste of storage space in using the multi-copy storage technology, a
current distributed storage system increasingly uses an erasure code (EC, Erasure
Code) technology to store data. Currently, Reed-Solomen erasure code is widely applied
in the storage field. A specific principle of the Reed-Solomen erasure code is: Data
is divided into m data blocks, check encoding is performed on the m data blocks by
using a redundancy algorithm, multiplication is performed on an encoding matrix and
the m data blocks to generate k check blocks, and the m data blocks and the k check
blocks constitute an EC stripe. Because a matrix operation is reversible, when k or
less blocks of the m+k blocks in the EC stripe are lost, data in the lost blocks can
be restored.
[0004] Compared with the copy, the erasure code coding technology undoubtedly improves storage
space utilization greatly. However, introduction of an extra encoding and decoding
operation has an additional requirement for a computation capability of a distributed
storage system.
SUMMARY
[0005] This application describes a data reconstruction method in a distributed storage
system, an apparatus, and a system, so as to reconstruct data on a faulty node after
the faulty node recovers, with no need to restore the data by means of EC decoding,
thereby reducing consumption of computation resources and network resources.
[0006] According to an aspect, an embodiment of the present invention provides a data reconstruction
method in a distributed storage system, including: obtaining, by a first storage node,
to-be-written data, determining a key value of the to-be-written data, updating a
version number corresponding to the key value, and performing EC encoding on the to-be-written
data to generate an EC stripe, where the EC stripe includes m+k EC blocks, the m EC
blocks are data blocks, the k EC blocks are check blocks, m is a positive integer
greater than or equal to 2, and k is a natural number; querying, by the first storage
node, a partition view and determining a second storage node corresponding to a partition
to which the to-be-written data belongs, where the first storage node is a primary
storage node corresponding to the partition, and the second storage node is a secondary
storage node corresponding to the partition; sending, by the first storage node, a
write request to the second storage node, where the write request carries an identifier
(ID) of the partition to which the to-be-written data belongs, the key value and the
version number of the to-be-written data, and data, an in-block data offset, and an
in-block data length of an EC block allocated to the second storage node; when determining
that writing to the second storage node fails, storing, by the first storage node,
the data of the EC block allocated to the second storage node, and generating metadata
information corresponding to the EC block allocated to the second storage node, where
the metadata information includes the partition ID of the partition to which the to-be-written
data belongs, the key value and the version number of the to-be-written data, and
the in-block data offset and the in-block data length of the EC block allocated to
the second storage node; and after the second storage node recovers from a fault,
sending, by the first storage node to the second storage node, the stored data of
the EC block allocated to the second storage node and the metadata information, so
that the second storage node performs data reconstruction.
[0007] A primary storage node in the distributed storage system performs EC encoding on
to-be-written data to generate an EC stripe, and stores, on each storage node, each
EC block in the EC stripe. When a fault occurs on some storage nodes and causes a
write failure of EC blocks, the primary storage node locally stores an EC block allocated
to a storage node to which the write fails and generates metadata information required
for data reconstruction. After the storage node recovers from the fault, the primary
storage node sends, to the storage node, the stored EC block allocated to the storage
node to which the write fails and the metadata information corresponding to the EC
block, so that the storage node that recovers from the fault completes the data reconstruction.
According to the data reconstruction solution in the distributed storage system provided
in this application, when some storage nodes are faulty, there is no need to perform
EC decoding to restore data on the faulty nodes. Instead, the primary storage node
temporarily stores EC blocks allocated to the faulty nodes and sends, after the faulty
nodes recover, the temporarily stored EC blocks to the faulty nodes for data reconstruction.
According to the foregoing solution, consumption of computation resources that results
from EC decoding is avoided when a storage node recovers from a fault and performs
data reconstruction, and consumption of network resources that results from a large
quantity of data transfer is also avoided when EC decoding is performed. For example,
when EC encoding is 4+2, four copies of data are needed for restoring one copy of
data. However, in this application, the primary storage node re-sends one copy of
data to the faulty node after the faulty node recovers, obviously reducing consumption
of network resources. Further, in the distributed storage system, a probability of
losing one copy of data is far greater than that of losing two copies of data, and
when one copy of data is lost, original data can still be restored. Therefore, EC
decoding does not need to be immediately performed to restore the lost data, and after
the faulty node recovers, using the data reconstruction solution provided in this
application can synchronize the data on the faulty node with that on the other storage
nodes.
[0008] In a possible implementation manner, the key value of the to-be-written data is used
to represent an address range of a logical volume that stores the to-be-written data.
[0009] In a possible implementation manner, the key value of the to-be-written data includes
a volume identifier of the logical volume that stores the to-be-written data and a
data offset identifier. The data offset identifier represents an address range, of
the to-be-written data, in the logical volume.
[0010] In a possible implementation manner, a storage client determines the key value of
the to-be-written data according to the volume identifier of the logical volume that
stores the to-be-written data and the data offset identifier. The data offset identifier
represents the address range, of the to-be-written data, in the logical volume. A
character string obtained after combining the volume identifier of the logical volume
and the data offset identifier may be used as the key value of the to-be-written data.
The key value of the to-be-written data may be used to uniquely identify an address
range within which the to-be-written data is stored.
[0011] In a possible implementation manner, the storage client calculates a hash value corresponding
to the key value of the to-be-written data by using a consistent hashing algorithm,
and determines a partition ID of a partition to which the hash value belongs. When
determining that the primary storage node corresponding to the partition is the first
storage node, the storage client sends the write request to the first storage node.
The write request carries the to-be-written data, the key value, the partition ID,
and the data offset and the data length of the to-be-written data.
[0012] In a possible implementation manner, the partition view includes the partition ID,
an identifier of the primary storage node, and an identifier of a secondary storage
node. The partition view is maintained and distributed to each storage node by a partition
view management module. To-be-written data can be written to each partition in a balanced
manner as much as possible by means of centralized partition view management, and
the partitions are evenly distributed on the storage nodes in the distributed storage
system as much as possible, so as to implement data redundancy backup.
[0013] In a possible implementation manner, the first storage node receives a faulty node
notification message sent by the partition view management module, where the faulty
node notification message carries an identifier of the second storage node; and determines
that writing to the second storage node fails. It should be noted that when receiving
a write failure response returned by a secondary storage node and determining that
writing to the secondary storage node fails, the first storage node does not necessarily
think that writing to the secondary storage node inevitably fails. Data sent to the
secondary storage node may be lost; in this case, the first storage node sends the
write request to the secondary storage node again, and the secondary storage node
re-attempts to write an EC block. Therefore, preferably, the faulty node notification
message sent by the partition view management module is used as a criterion for determining
that writing to a storage node fails.
[0014] After the second storage node recovers from a fault, the second storage node requests
a latest partition view from the partition view management module, determines a primary
storage node corresponding to a partition stored on the second storage node, and requests
the primary storage node corresponding to the partition to perform data synchronization.
There may be multiple partitions on a faulty node, and a primary storage node in each
partition may be different. Therefore, for different partitions, the faulty node needs
to request different primary storage nodes to perform data synchronization.
[0015] Specifically, the first storage node receives a data synchronization request sent
by the second storage node, where the data synchronization request carries the partition
ID. The first storage node obtains, from the second storage node, one or more key
values corresponding to the partition ID and a version number of the key value that
are recorded on the second storage node. The first storage node compares a key value
corresponding to the partition ID and a version number of the key value that are recorded
on the first storage node, with the one or more key values corresponding to the partition
ID and the version number of the key value that are obtained from the second storage
node, and determines, according to a comparison result, that data reconstruction needs
to be performed. The first storage node sends, according to the metadata information,
stored data, of an EC block corresponding to the key value, for which data reconstruction
is needed and metadata information of the EC block, to the second storage node for
data reconstruction.
[0016] When receiving the data synchronization request from the second storage node, the
first storage node performs a comparison operation and determines that data corresponding
to which key value needs to be synchronized. The comparison includes at least one
of the following:
when the version number corresponding to the key value recorded on the first storage
node is the same as the version number corresponding to the key value obtained from
the second storage node, skipping performing data reconstruction;
when the key value recorded on the first storage node does not include the key value
obtained from the second storage node, instructing the second storage node to delete
data corresponding to the key value that is not included in the first storage node;
when the version number corresponding to the key value recorded on the first storage
node is greater than the version number corresponding to the key value obtained from
the second storage node, performing a data reconstruction operation; or
when the key value recorded on the first storage node is not included in the key value
obtained from the second storage node, instructing the second storage node to reconstruct
the data corresponding to the key value that is not included in the second storage
node.
[0017] In a possible implementation manner, when the second storage node receives the EC
block temporarily stored in the first storage node and the corresponding metadata
information after recovering from the fault, the second storage node writes the data
of the EC block onto a disk according to the in-block data offset and the in-block
data length of the EC block allocated to the second storage node, and updates the
version number corresponding to the key value of the to-be-written data, so as to
complete data reconstruction of the EC block.
[0018] In a possible implementation manner, in this application, a storage address of the
logical volume is equally divided at a granularity of the m EC blocks, to obtain multiple
storage units, and data offset identifiers are allocated to the multiple storage units.
Further, the storage client receives a storage instruction sent by an upper-layer
application, where the storage instruction carries to-be-stored data, and a volume
identifier, a data offset, and a data length of the logical volume that stores the
to-be-stored data. The storage client determines at least one storage unit corresponding
to an address range within which the to-be-stored data is stored, and uses some to-be-stored
data corresponding to each storage unit as the to-be-written data that needs to be
written to the distributed storage system in one write operation.
[0019] When data to be stored at a time is relatively large, the to-be-stored data may need
to be divided into multiple sections to be written to the distributed storage system
in several times. In this application, a method for writing to-be-stored data by segment
is provided. Data written at a time is referred to as the to-be-written data.
[0020] Still further, the first storage node calculates a hash value corresponding to the
key value of the to-be-written data by using a consistent hashing algorithm, and determines
a partition ID of a partition to which the hash value belongs. Data is evenly distributed
in each partition in a consistent hashing manner.
[0021] In a possible implementation manner, after receiving the write failure response,
the first storage node may determine that a storage node that sends the write failure
response is faulty. Alternatively, the first storage node may determine a faulty node
according to status information of a storage node recorded in the partition view.
[0022] In a possible implementation manner, in this application, a method for temporarily
storing, by the first storage node, an EC block allocated to a faulty node to which
writing fails is further provided. Specifically, the first storage node allocates
free storage space as a log volume, to store an EC block allocated to a storage node
to which writing fails. The log volume includes at least one log block, and a size
of the log block is the same as a size of the EC block.
[0023] The size of the log block is set to be the same as the size of the EC block, and
therefore, data reconstruction is implemented at a granularity of the EC block. A
reconstruction method is of low complexity.
[0024] According to another aspect, an embodiment of the present invention provides a storage
node. The storage node specifically implements functions of the first storage node
in the foregoing method. The functions may be implemented by using hardware or by
executing corresponding software by hardware. The hardware or software includes one
or more modules corresponding to the foregoing functions.
[0025] In a possible design, a structure of the storage node includes a processor and a
memory. The processor is configured to support the storage node to perform corresponding
functions in the foregoing system. The storage node may further include the memory.
The memory is configured to couple to the processor, and the memory stores a program
instruction and data necessary for performing the foregoing functions by the storage
node.
[0026] According to still another aspect, an embodiment of the present invention provides
a distributed storage system. The distributed storage system specifically implements
functions of the first storage node, the second storage node, the storage client,
and the partition view management module in the foregoing method. The functions may
be implemented by using hardware or by executing corresponding software by hardware.
The hardware or software includes one or more modules corresponding to the foregoing
functions.
[0027] According to yet another aspect, an embodiment of the present invention provides
a computer storage medium, configured to store computer software instructions used
by the first storage node, and the computer storage medium includes a program involved
in executing the foregoing aspects.
BRIEF DESCRIPTION OF DRAWINGS
[0028] To describe the technical solutions in the embodiments of the present invention or
in the prior art more clearly, the following briefly describes the accompanying drawings
required for describing the embodiments or the prior art. Apparently, the accompanying
drawings in the following description only show some embodiments of the present invention,
and a person of ordinary skill in the art can derive other implementation manners
from these accompanying drawings without creative efforts. All these embodiments or
implementation manners shall fall within the protection scope of the present invention.
FIG. 1 is a schematic structural diagram of a possible distributed storage system
that implements the present invention;
FIG. 2 is a schematic structural diagram of an EC block stored on a primary storage
node according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of management logic of a log block according to an embodiment
of the present invention;
FIG. 4 is a schematic diagram of a computer device according to an embodiment of the
present invention;
FIG. 5 is a schematic flowchart of data writing according to an embodiment of the
present invention;
FIG. 6 is a schematic diagram of equal division of storage space of a logical volume
according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a DHT hash ring according to an embodiment of the
present invention;
FIG. 8 is a schematic flowchart of a data reconstruction method after a faulty node
recovers according to an embodiment of the present invention;
FIG. 9 is a schematic structural diagram of a storage node according to an embodiment
of the present invention; and
FIG. 10 is a schematic structural diagram of a distributed storage system according
to an embodiment of the present invention.
DESCRIPTION OF EMBODIMENTS
[0029] The technical solutions according to embodiments of the present invention are clearly
and completely described in the following with reference to the accompanying drawings.
Apparently, the described embodiments are only some but not all of the embodiments
of the present invention. All other embodiments obtained by a person of ordinary skill
in the art based on the embodiments of the present invention without creative efforts
shall fall within the protection scope of the present invention.
[0030] A network architecture and a service scenario described in the embodiments of the
present invention are to more clearly describe the technical solutions in the embodiments
of the present invention, but are not intended to limit the technical solutions provided
in the embodiments of the present invention. A person of ordinary skill in the art
may know that as the network architecture evolves and a new service scenario emerges,
the technical solutions provided in the embodiments of the present invention also
apply to a similar technical problem.
[0031] When data is to be stored in a distributed storage system by using an EC technology,
one or more EC stripes are generated according to a size of the to-be-stored data,
and m data blocks and k check blocks of each EC stripe are distributed, for storage,
to m+k storage nodes in the distributed storage system. Each data block or check block
in the EC stripe may also be referred to as an erasure code block EC block. When a
node in the distributed storage system is faulty, provided that a quantity of faulty
nodes is less than k, an EC block stored on the faulty node can be restored according
to an EC block, in an EC stripe, on a non-faulty node. A restoration method is: m
EC blocks that belong to one EC stripe and that are stored on at least m storage nodes
are first obtained; EC decoding is performed on data in the m EC blocks, so that an
EC block, in the EC stripe, on a faulty node can be restored. Therefore, the distributed
storage system in which data is stored by using the EC technology has high reliability.
[0032] However, the EC decoding technology has a relatively high requirement for a computation
capability of the distributed storage system. Besides, restoring data of one EC block
on a faulty node needs to transmit data of m EC blocks, resulting in a relatively
high burden on network transmission. To resolve the foregoing problem, the embodiments
of the present invention provide a data reconstruction method in the distributed storage
system. When a storage node is faulty, an EC block originally to be written to the
faulty node is temporarily stored on another storage node (preferably, stored on a
primary storage node). After the faulty node recovers, the EC block stored on the
another storage node is written back to the faulty node that has recovered, so as
to implement reconstruction of data in the EC block on the faulty node. According
to the solution provided in this application, EC decoding is not performed, and therefore,
computation resources are reduced. In addition, during data reconstruction, only to-be-reconstructed
data needs to written back to a faulty node that has recovered, reducing bandwidth
consumption in network transmission. In a possible implementation manner, a primary
storage node stores data allocated to a faulty node. Specifically, free storage space
is allocated on the primary storage node. When a storage node is faulty, data originally
to be written to the faulty node is temporarily stored in the free storage space of
the primary storage node. When the faulty node recovers, the data stored on the primary
node is directly sent to the faulty node.
[0033] As shown in FIG. 1, FIG. 1 is a schematic structural diagram of a distributed storage
system according to an embodiment of the present invention. The distributed storage
system includes multiple storage nodes, multiple storage clients, and a partition
view (Partition View, PT View) management module. The storage client receives a data
storage request sent by an upper-layer application and uses an erasure code technology
to store to-be-written data to the multiple storage nodes for redundancy backup storage.
Functions of the components in FIG. 1 are as follows.
[0034] The PT view management module may be deployed on a server or a storage node. The
PT view management module has the following main functions.
1. The PT view management module monitors a status of each storage node. Specifically,
there is a heartbeat connection between the PT view management module and each storage
node, and the status of each storage node is monitored by using the heartbeat connection.
When the storage node is in a normal state, it indicates that data stored on the storage
node is in a normal state, and an abnormal power failure does not occur on the storage
node or the storage node has completed data reconstruction after an abnormal power
failure. When the storage node is in a faulty state, it indicates that data stored
on the storage node is in an abnormal state, and an abnormal power failure occurs
on the storage node or the storage node does not complete data reconstruction; as
a result, the data does not synchronize with data on other storage nodes.
2. The PT view management module generates and updates a partition view. The PT view
management module generates or updates the partition view based on the statuses of
and a quantity of the storage nodes and according to a partition partition allocation
algorithm. A storage node corresponding to each partition includes one primary storage
node and several secondary storage nodes. A total quantity of storage nodes corresponding
to each partition is a quantity of EC blocks included in an EC stripe, that is, m+k.
As shown in the following, the table is a schematic diagram of the PT view provided
in this embodiment of the present invention. m+k storage nodes are allocated to each
partition, one of the storage nodes is designated as the primary storage node, and
the other storage nodes are designated as the secondary storage nodes. The partition
view includes current status information of each storage node.
| Partition identifier (ID) |
Storage node identifier |
Node identity |
Status information |
| **** |
1 |
Primary node |
Normal |
| 2 |
Secondary node |
Normal |
| ... |
... |
... |
| m+k |
Secondary node |
Faulty |
The partition view may be manually set by an administrator, or may be allocated by
a management server, provided that partitions are discretely allocated to storage
nodes as much as possible. An establishment manner of the partition view is not limited
in this embodiment of the present invention.
3. The PT view management module publishes the partition view to each storage client
and each storage node.
[0035] The storage client is a logical function module deployed on a server and is responsible
for receiving a data storage request sent by an external host and converting the data
storage request into an IO request, in a key-value pair (Key-Value) form, for a storage
node.
[0036] The storage node may be a physical storage node, or may be multiple logical storage
nodes obtained by dividing a physical storage node. Main functions of the storage
node include: data-related processing (such as EC encoding), distributed transaction
(two-phase transaction) completion processing, and processing of final conversion
of IO into a read/write request for a disk.
[0037] Preferably, in a primary storage node in each partition, free storage space needs
to be allocated for storing data of an EC block allocated to a faulty storage node
to which writing fails. The free storage space may be referred to as a log volume.
Storage space of the log volume is divided into several log blocks. A size of each
log block is the same as a size of an EC block. Each log block is corresponding to
a log block identifier (identity, ID). When a log block is allocated for use, metadata
information is generated. In the metadata information, a partition ID, a key value
of data written to the log block, a version number of the data, and an in-block data
offset and an in-block data length of the EC block are recorded. The metadata information
may further include an ID of the log block.
[0038] In a possible implementation manner, a free log block may be managed by using a space
queue, and a used log block may be managed by using a hashmap. A hash key value is
the partition ID. In this way, log blocks in one partition are placed in one queue.
When new data needs to be written to a log volume, a free block is first applied for
in a free block list, and the free block is inserted into a corresponding hashmap
according to a partition ID of the to-be-written data. After the log block is used,
the log block is placed back to the free block list.
[0039] The storage client, the storage node, and the partition view management module shown
in FIG. 1 may be implemented by using hardware/software. For example, as shown in
FIG. 4, FIG. 4 is a schematic diagram of a computer device according to an embodiment
of the present invention. A computer device 200 includes at least one processor 201,
a communications bus 202, a memory 203, and at least one communications interface
204.
[0040] The processor 201 may be a general-purpose central processing unit (CPU), a microprocessor,
an application-specific integrated circuit (application-specific integrated circuit,
ASIC), or one or more integrated circuits used to control program execution in solutions
of the present invention.
[0041] The communications bus 202 may include a path for transferring information between
the foregoing components. The communications interface 304 locates on an apparatus
using as any transceiver or the like, is configured to communicate with another device
or a communications network such as an Ethernet, a radio access network (RAN), and
a wireless local area network (Wireless Local Area Networks, WLAN).
[0042] The memory 203 may be a read-only memory (read-only memory, ROM) or another type
of static storage device that can store static information and an instruction, a random
access memory (random access memory, RAM) or another type of a dynamic storage device
that can store information and an instruction, or may be an electrically erasable
programmable read-only memory (Electrically Erasable Programmable Read-Only Memory,
EEPROM), a compact disc read-only memory (Compact Disc Read-Only Memory, CD-ROM) or
another optical disc storage, an optical disc storage (including a compact optical
disc, a laser disc, an optical disc, a digital versatile disc, a Blu-ray disc, and
the like), a magnetic disk storage medium or another magnetic storage device, or any
other medium that can be used to carry or store expected program code in a form of
an instruction or a data structure and that can be accessed by a computer. The present
invention does not limit thereto. The memory may exist independently and may be connected
to the processor by using a bus. The memory may alternatively be integrated with the
processor.
[0043] The memory 203 is configured to store application program code for executing the
solutions of the present invention, and the processor 201 controls the execution.
The processor 201 is configured to execute the application program code stored in
the memory 203.
[0044] During specific implementation, in an embodiment, the processor 201 may include one
or more CPUs, for example, a CPU 0 and a CPU 1 in FIG. 2.
[0045] During specific implementation, in an embodiment, the computer device 200 may include
multiple processors, for example, the processor 201 and a processor 208 in FIG. 2.
Each of these processors may be a single-core (single-CPU) processor or a multi-core
(multi-CPU) processor. The processor herein may refer to one or more devices, circuits,
and/or processing cores used to process data (for example, a computer program instruction).
[0046] During specific implementation, in an embodiment, the computer device 200 may further
include an output device 205 and an input device 206. The output device 205 communicates
with the processor 201 and may display information in multiple manners. For example,
the output device 205 may be a liquid crystal display (liquid crystal display, LCD),
a light emitting diode (light emitting diode, LED) display device, a cathode ray tube
(cathode ray tube, CRT) display device, a projector (projector), or the like. The
input device 206 communicates with the processor 201 and may receive input from a
user in multiple manners. For example, the input device 206 may be a mouse, a keyboard,
a touchscreen device, a sensing device, or the like.
[0047] The computer device 200 may be a general-purpose computer device or a special-purpose
computer device. During specific implementation, the computer device 200 may be a
desktop computer, a portable computer, a network server, a personal digital assistant
(Personal Digital Assistant, PDA), a mobile phone, a tablet computer, a wireless terminal
device, a communications device, an embedded device, or a device with a structure
similar to that in FIG. 4. This embodiment of the present invention does not limit
a type of the computer device 200.
[0048] The storage client, the storage node, and the partition view management module in
FIG. 1 may be the device shown in FIG. 4. The memory stores one or more software modules
for implementing functions of the storage client, the storage node, and the partition
view management module (for example, a log block storage function of the storage node).
The storage client, the storage node, and the partition view management module may
implement, by using the processor and the program code in the memory, a method for
application topology discovery between virtual machines.
[0049] It should be noted that the computer device in FIG. 4 shows only a possible hardware
implementation manner of the parts in the distributed storage system. Hardware components
of the computer device may be added or deleted according to a difference or a variation
in functions of the parts in the system, so as to match the functions of the parts
in the system.
[0050] As shown in FIG. 5, FIG. 5 is a schematic flowchart of data writing when there is
a faulty node according to an embodiment of the present invention. In this embodiment
of the present invention, m=2 and k=1 are used as an example for description. In this
case, each EC stripe includes three EC blocks. The three EC blocks need to be stored
to three storage nodes, respectively. A size of the EC block is assumed to be 1M.
In this embodiment of the present invention, a storage node 2 being in a faulty state
is used as an example for description.
[0051] In this embodiment of the present invention, for storage space of a logical volume,
the logical volume is equally divided at a granularity of m EC blocks (in the following
diagram, m=2 and a size of an EC block being 1M are used as an example). As shown
in the following, the diagram is a schematic diagram of equal division of storage
space of a logical volume. Starting from address 0, data offset IDs of equally divided
parts of the logical volume are 0, 1, 2...n, respectively.
[0052] Step 501. A storage client receives a storage instruction sent by an external host,
where the storage instruction carries to-be-stored data, and a volume identifier of
a logical volume, a data offset, and a data length of the to-be-stored data; the storage
client generates, according to the data offset and the data length of the to-be-stored
data, a data offset ID of to-be-written data that needs to be written in each write
operation, where to-be-written data corresponding to each write operation is corresponding
to one data offset ID.
[0053] Further, the storage client combines the volume identifier of the logical volume
and the data offset ID of the to-be-written data, to generate a key value of the to-be-written
data. When the to-be-written data needs to be divided into multiple write processes
for data storage, a key value corresponding to to-be-written data of each write process
is generated.
[0054] Specifically, a process in which the storage client processes the received to-be-stored
data and divides the to-be-stored data into to-be-written data corresponding to multiple
write processes is as follows:
For example, assuming that the data length of the to-be-stored data is 3M, and the
data offset is 2.5M, an address range of the logical volume that stores the to-be-stored
data is 2.5M to 5.5M. The to-be-stored data falls into the second part and the third
part of the equally divided logical volume. Data offset IDs respectively corresponding
to the two parts are 1 and 2. In storage space for which the data offset ID is 1,
a first section of to-be-written data whose address range is from 2.5M to 4M is stored.
In storage space for which the data offset is 2, a second section of to-be-written
data whose address range is from 4M to 5.5M is stored. In this case, the storage client
divides the to-be-stored data into the two sections of to-be-written data, performs
two write operations, and writes the two sections of to-be-written data to storage
nodes in two separate times. A key value of the first section of to-be-written data
is a character string generated by combining the volume identifier of the logical
volume and the data offset ID 1. A key value of the second section of to-be-written
data is a character string generated by combining the volume identifier of the logical
volume and the data offset ID 2. It can be learned that the key value of the to-be-written
data is determined by the address range of the to-be-written data and is unrelated
to specific content of the to-be-written data.
[0055] It should be noted that in this embodiment of the present invention, writing the
first section of to-be-written data is used as an example for description. In this
case, the address range of the to-be-written data is from 2.5M to 4M. A person skilled
in the art may understand that when the to-be-stored data is divided into multiple
sections of data, and multiple write operations need to be performed, processes of
the multiple write operations are similar. Considering that data offset IDs of to-be-written
data in different write processes are different, key values of the to-be-written data
in the different write processes are different, and a data offset and a data length
of the to-be-written data in each write operation change.
[0056] In this embodiment of the present invention, the to-be-stored data is the to-be-stored
data included in the storage instruction that is received by the storage client from
an upper-layer application or the external host. The to-be-written data is data written
to each storage node by the storage client in one write operation. The to-be-written
data in one write process is written to each storage node in a form of an EC stripe.
[0057] Step 502. The storage client calculates a hash value of a key value of the to-be-written
data and determines a partition ID corresponding to the calculated hash value.
[0058] In a possible implementation manner, the partition ID corresponding to the key value
of the to-be-written data may be calculated in a consistent hashing manner. As shown
in FIG. 5, FIG. 5 is an example of a DHT hash ring. During system initialization,
an integer interval in a large range of [0, 232-1] is segmented into multiple partitions
(partition) with an equal interval size. Quantities of hash integers in the partitions
are the same, representing hash space with same length. According to the hash value
of the key value of the to-be-written data, a partition ID of a partition into which
the hash value falls is determined.
[0059] Step 503. The storage client queries a partition view according to the partition
ID and determines a primary storage node that processes the to-be-written data.
[0060] A partition view management module in a distributed storage system maintains a correspondence
between a partition and a storage node (the storage node may be a physical node or
multiple logical nodes obtained by logically dividing a physical node). The correspondence
is the partition view.
[0061] Further, when the to-be-stored data is relatively large and needs to be divided into
multiple pieces of to-be-written data for being written to storage nodes after multiple
write processes, a data offset of a first section of to-be-written data is the same
as the data offset of the to-be-stored data, and a data offset of each subsequent
section of to-be-written data is 0. When the to-be-stored data can be written in one
write process, a data offset of the to-be-written data is the data offset of the to-be-stored
data.
[0062] Step 504. The storage client sends a write request to the primary storage node, where
the write request carries the to-be-written data, the key value, a data offset, a
data length, and the partition ID that are corresponding to the to-be-written data,
and the like.
[0063] In this embodiment of the present invention, a storage node 1 being the primary storage
node and the storage node 2 and a storage node 3 being secondary storage nodes are
used as an example for description.
[0064] Step 505. The primary storage node performs EC encoding on the to-be-written data,
to generate m data blocks and k check blocks, where m+k EC blocks constitute an EC
stripe and are processed by m+k storage nodes (including the primary storage node)
respectively; and the primary storage node generates or updates a version number of
the to-be-written data and stores a correspondence between the key value and the version
number.
[0065] Specifically, the primary storage node segments the to-be-written data at a granularity
of an EC block, to obtain the m data blocks; and performs EC encoding to generate
the k check blocks corresponding to the m data blocks. The primary storage node performs
the foregoing processing on the to-be-written data to generate the m+k EC blocks.
The primary storage node generates a data offset and a data length for each EC block.
For example, an address range of the to-be-written data is from 2.5M to 4M, and a
size of the EC block is 1M. Therefore, the to-be-written data is divided into two
EC blocks: 2M-3M and 3M-4M. An in-block data offset of the first EC block is 0.5M,
and an in-block data length of the first EC block is 0.5M. An in-block data offset
of the second EC block is 0M, and an in-block data length of the second EC block is
1M. A data offset of the check block is a minimum value of data offsets of the EC
blocks. A data length of the check block is obtained by superposing address ranges
of data lengths of the EC blocks. Specifically, in this example, k=1, that is, one
check block is generated. In this case, an in-block data offset of the check block
is 0, and a data length of the check block is 1M. In a possible implementation manner,
the primary storage node records the in-block data offset and the in-block data length
of the check block, and the check block is written to each secondary storage node
at a granularity of the entire block.
[0066] It should be noted that the in-block data offset and the in-block data length of
the EC block may be calculated by using a common EC encoding manner in the prior art.
This is not limited in this embodiment of the present invention.
[0067] In a possible implementation manner, when data is to be written to the storage space
of a logical volume for the first time, in a write operation process, the primary
storage node generates a version number, of the to-be-written data, stored in the
storage space. In a process in which data stored in the storage space is updated,
the primary storage node updates the version number, and a manner of increasing a
version number by 1 during each time of updating may be used.
[0068] Step 506. The primary storage node determines, according to the partition view, a
secondary storage node corresponding to the partition ID, and sends a write request
to the secondary storage node, where the write request carries the key value and the
version number that are of the to-be-written data, and data content, an in-block data
offset, and an in-block data length that are of an EC block allocated to the secondary
storage node.
[0069] In a possible implementation manner, the write request may be a prepare request.
The primary storage node processes one EC block and sends the remaining m+k-1 EC blocks
to m+k-1 secondary storage nodes, corresponding to the partition ID, in the partition
view, respectively. The primary storage node may randomly allocate the EC blocks or
allocate the EC blocks in a sequence of identifiers of the storage nodes. This is
not limited in this embodiment of the present invention.
[0070] Step 507. The secondary storage node receives the write request and writes, according
to the write request, the data content in the EC block to disk address space corresponding
to the in-block data offset and the in-block data length; the secondary storage node
records the key and the version number that are of the to-be-written data; after a
write operation is completed, the secondary storage node returns a write success response
to the primary storage node; and if a fault occurs on the secondary storage node and
causes a write failure, the secondary storage node returns a write failure response
to the primary storage node.
[0071] In a possible implementation manner, the write response is a prepare log message,
which carries an identifier indicating a success or failure.
[0072] In a possible implementation manner, the primary storage node may determine, according
to status information of a storage node in the partition view, whether the secondary
storage node is faulty. If the secondary storage node is faulty, the primary storage
node may directly and locally store an EC block that is allocated to the faulty secondary
storage node, and skip step 506 and step 507.
[0073] Step 508. The primary storage node receives a write response returned by each secondary
storage node; when determining that a quantity of secondary storage nodes to which
writing succeeds is greater than or equal to m, the primary storage node determines
that this write operation succeeds, and stores an EC block allocated to a secondary
storage node to which writing fails, to generate metadata information, where the metadata
information includes the partition ID, the key value, and the version number that
are of the to-be-written data, and an in-block data offset and an in-block data length
of the EC block of which the write fails.
[0074] In a possible manner, when receiving the write success response returned by the secondary
storage node, the primary storage node may determine that the secondary storage node
that sends the write success response has successfully written the to-be-written data
onto a disk. In addition, the primary storage node may receive a node status notification
message from the partition view management module and determine that writing to a
faulty node fails. Alternatively, the primary storage node receives the write failure
response and determines that writing to the secondary storage node that sends the
write failure response fails.
[0075] In the metadata information, the key value is the key value of the to-be-written
data received by the primary storage node in step 504, the version number is the version
number corresponding to the key value and generated in step 505, the in-block data
offset and the in-block data length are included in the write request sent by the
primary storage node to the secondary storage node to which the write fails in step
506, and the partition ID is the partition ID to which the to-be-written data sent
by the storage client to the primary storage node belongs in step 504.
[0076] A specific manner in which the primary storage node stores the to-be-written data
allocated to the secondary storage node to which the write fails may be a manner shown
in FIG. 3.
[0077] In a possible implementation manner, when a quantity of secondary storage nodes to
which writing fails is greater than k, the primary storage node determines that a
write fails and returns a write failure response to the storage client.
[0078] Step 509. The primary storage node returns an acknowledgment message to the secondary
storage node to which the write succeeds, and returns a write success response to
the storage client.
[0079] In a possible implementation manner, the acknowledgment message is specifically a
commit message.
[0080] As shown in FIG. 8, an embodiment of the present invention further provides a schematic
flowchart of a data reconstruction method after a faulty node recovers. The method
includes the following steps.
[0081] Step 801. After recovering from a fault, a storage node 2 obtains a partition view
from a partition view management module, where the partition view includes a partition
ID, and a primary storage node and a secondary storage node that are corresponding
to the partition ID.
[0082] When receiving a partition view obtaining request sent by the storage node 2, the
partition view management module returns, to the storage node 2, a partition view
of a partition related to the storage node 2. The partition related to the storage
node 2 is a partition in which the primary storage node or the secondary storage is
the storage node 2.
[0083] In a possible implementation manner, when a storage node is faulty, because the faulty
node may be a primary storage node corresponding to some partition IDs, a management
module of a distributed storage system downgrades the faulty node to a secondary storage
node and updates a partition view.
[0084] In a possible implementation manner, a faulty node may be corresponding to multiple
partition IDs and is a secondary storage node for the multiple partition IDs. The
faulty node performs data reconstruction at a granularity of a partition. In this
embodiment of the present invention, data of one partition on a faulty node being
reconstructed is used as an example for description. The storage node 2 requests the
primary storage node corresponding to the partition ID to perform data synchronization.
A person skilled in the art may understand that when data of multiple partitions on
a storage node needs to be synchronized, the storage node may request a primary storage
node corresponding to each partition ID to perform data synchronization.
[0085] Step 802. The storage node 2 sends a data synchronization request to the primary
storage node, where the data synchronization request carries the partition ID, a key
value, and a version number corresponding to the key value.
[0086] It should be noted that in a possible implementation manner, the storage node 2 may
first send the partition ID to the primary storage node. After receiving the partition
ID, the primary storage node obtains, from the storage node 2, all key values belonging
to the partition ID and version numbers corresponding to the key values. A person
skilled in the art may understand that data in a partition can be reconstructed in
multiple separate times. This is not limited in this embodiment of the present invention.
[0087] Step 803. The primary storage node compares key values corresponding to the partition
ID and version numbers corresponding to the key values that are recorded on the primary
storage node with all key values corresponding to the partition ID and version numbers
corresponding to the all key values that are reported by the storage node 2:
Case 1: When a key value corresponding to the partition ID recorded on the primary
storage node is not included in the key values corresponding to the partition ID reported
by the storage node 2, it indicates that when the storage node 2 is faulty, new data
(which is corresponding to the key value that is not included) is written, and an
EC block corresponding to the new data has been successfully written on the primary
storage node. However, because the storage node 2 is faulty, and the EC block allocated
to the storage node 2 is temporarily stored on the primary storage node, the data
(which specifically is the EC block allocated to the storage node 2) corresponding
to the key value is not written on the storage node 2. The primary storage node sends,
to the storage node 2, the EC block allocated to the storage node 2 and metadata information,
and the storage node 2 reconstructs the data corresponding to the key value.
Case 2: When a version number corresponding to the key value is the same as a version
number corresponding to the key value reported by the storage node 2, it indicates
that data corresponding to the key value on the storage node 2 does not need to be
updated. That is, when the storage node 2 is faulty, the data corresponding to the
key value is not updated, and the version number does not change.
Case 3: When the primary storage node does not obtain the key value through query,
it indicates that data corresponding to the key value on the primary storage node
has been deleted. The primary storage node instructs the storage node 2 to delete
the data corresponding to the key value.
Case 4: When a version number corresponding to the key value in the primary storage
node is greater than a version number corresponding to the key value reported by the
storage node 2, it indicates that in a period when the storage node 2 is faulty, data
corresponding to the key value is updated. The primary storage node sends, to the
storage node 2, the data (which specifically is an EC block allocated to the storage
node 2) corresponding to the key value and metadata information, and the storage node
2 reconstructs the data corresponding to the key value.
[0088] In case 1 and case 4, the data needs to be reconstructed. A specific data reconstruction
process includes the following steps.
[0089] Step 804. The primary storage node searches for metadata information according to
the partition ID and a key value corresponding to to-be-reconstructed data, and determines
a log volume and metadata information that are corresponding to a to-be-reconstructed
EC block; the primary storage node sends, to the storage node 2, a to-be-reconstructed
EC block recorded in the log volume and an in-block data offset, an in-block data
length, and a version number that are included in the metadata information.
[0090] Step 805. The storage node 2 performs data reconstruction, writes data of the EC
block onto a disk according to the in-block data offset and the in-block data length
of the EC block allocated to the second storage node, and updates a version number
corresponding to a key value of the to-be-written data; and returns a data reconstruction
success message to the primary storage node after the data reconstruction.
[0091] Step 806. The primary storage node deletes the log volume and the metadata information
of the data that has been reconstructed; and the primary storage node recovers the
log volume and places the log volume in a free queue.
[0092] In a possible implementation manner, when the storage node 2 is reconstructing data,
if in a data recovery process, a new write request is to be written to the faulty
node that is being recovered. When a location for the write has been recovered, the
write may be directly performed. If the location has not been recovered or is being
recovered, the write waits to be performed after the data is recovered.
[0093] In this application, a data reconstruction method in a distributed storage system,
an apparatus, and a system are provided. A primary storage node in the distributed
storage system performs EC encoding on to-be-written data to generate an EC stripe,
and stores, on each storage node, each EC block in the EC stripe. When a fault occurs
on some storage nodes and causes a write failure of EC blocks, the primary storage
node locally stores an EC block allocated to a storage node to which the write fails
and generates metadata information required for data reconstruction. After the storage
node recovers from the fault, the primary storage node sends, to the storage node,
the stored EC block allocated to the storage node to which the write fails and the
metadata information corresponding to the EC block, so that the storage node that
recovers from the fault completes the data reconstruction. According to the data reconstruction
solution in the distributed storage system provided in this application, when some
storage nodes are faulty, there is no need to perform EC decoding to restore data
on the faulty nodes. Instead, the primary storage node temporarily stores EC blocks
allocated to the faulty nodes and sends, after the faulty nodes recover, the temporarily
stored EC blocks to the faulty nodes for data reconstruction. According to the foregoing
solution, consumption of computation resources that results from EC decoding is avoided
when a storage node is faulty, and consumption of network resources that results from
a large quantity of data transfer is also avoided when EC decoding is performed. For
example, when EC encoding is 4+2, four copies of data are needed for restoring one
copy of data. However, in this application, the primary storage node re-sends one
copy of data to the faulty node after the faulty node recovers, obviously reducing
consumption of network resources. Further, in the distributed storage system, a probability
of losing one copy of data is far greater than that of losing two copies of data,
and when one copy of data is lost, original data can still be restored. Therefore,
EC decoding does not need to be immediately performed to restore the lost data, and
after the faulty node recovers, using the data reconstruction solution provided in
this application can synchronize the data on the faulty node with that on the other
storage nodes.
[0094] Corresponding to the foregoing embodiment of the data reconstruction method in the
distributed storage system described above as shown in FIG. 9, an embodiment of the
present invention further provides a storage node. The storage node includes:
an obtaining unit 901, configured to obtain to-be-written data and a key value of
the to-be-written data, update a version number corresponding to the key value, and
perform EC encoding on the to-be-written data to generate an EC stripe, where the
EC stripe includes m+k EC blocks, the m EC blocks are data blocks, the k EC blocks
are check blocks, m is a positive integer greater than or equal to 2, and k is a natural
number;
a processing unit 902, configured to: query a partition view and determine a secondary
storage node corresponding to a partition to which the to-be-written data belongs,
where the first storage node is a primary storage node corresponding to the partition,
and a second storage node is one of secondary storage nodes corresponding to the partition;
and
a sending unit 903, configured to send a write request to each secondary storage node,
where the write request carries a partition ID of the partition to which the to-be-written
data belongs, the key value and the version number of the to-be-written data, and
data of an EC block allocated to each secondary storage node.
[0095] The processing unit 902 is configured to: when determining that writing to the second
storage node fails, store data of an EC block allocated to the second storage node,
and generate metadata information corresponding to the EC block allocated to the second
storage node. The metadata information includes the partition ID of the partition
to which the to-be-written data belongs, and the key value and the version number
of the to-be-written data.
[0096] After the second storage node recovers from a fault, the sending unit 903 is further
configured to send, to the second storage node, the stored data of the EC block allocated
to the second storage node and the metadata information, so that the second storage
node performs data reconstruction.
[0097] Further, the processing unit 902 is further configured to determine that a quantity
of storage nodes to which writing succeeds is greater than or equal to m.
[0098] The obtaining unit 901 is further configured to: receive a data synchronization request
sent by the second storage node, where the data synchronization request carries the
partition ID, and obtain, from the second storage node, one or more key values corresponding
to the partition ID and a version number of the key value that are recorded on the
second storage node.
[0099] The processing unit 902 is further configured to: compare a key value corresponding
to the partition ID and a version number of the key value that are recorded by the
processing unit 902, with the one or more key values corresponding to the partition
ID and the version number of the key value that are obtained from the second storage
node, and determine, according to a comparison result, that data reconstruction needs
to be performed.
[0100] The sending unit 903 is specifically configured to send, according to the metadata
information, stored data, of an EC block corresponding to the key value, for which
data reconstruction is needed and metadata information of the EC block, to the second
storage node for data reconstruction.
[0101] The processing unit 902 is specifically configured to perform at least one of the
following comparison processing:
when the version number corresponding to the key value recorded on the storage node
is the same as the version number corresponding to the key value obtained from the
second storage node, skipping performing data reconstruction;
when the key value recorded on the storage node does not include the key value obtained
from the second storage node, instructing the second storage node to delete data corresponding
to the key value that is not included in the storage node;
when the version number corresponding to the key value recorded on the storage node
is greater than the version number corresponding to the key value obtained from the
second storage node, performing a data reconstruction operation; or
when the key value recorded on the storage node is not included in the key value obtained
from the second storage node, instructing the second storage node to reconstruct the
data corresponding to the key value that is not included in the second storage node.
[0102] The processing unit 902 is further configured to: equally divide a storage address
of the logical volume at a granularity of the m EC blocks, to obtain multiple storage
units, and allocate data offset identifiers to the multiple storage units.
[0103] The obtaining unit 901 is specifically configured to: calculate a hash value corresponding
to the key value of the to-be-written data by using a consistent hashing algorithm,
and determine a partition ID of a partition to which the hash value belongs.
[0104] Alternatively, the obtaining unit 901 is specifically configured to obtain the partition
ID of the partition corresponding to the to-be-written data from a write request sent
by a storage client.
[0105] The obtaining unit 901 is further configured to: receive a write failure response
returned by the second storage node, and determine that writing to the second storage
node fails.
[0106] Alternatively, the obtaining unit 901 is further configured to determine, according
to the partition view, that a status of the second storage node is faulty, where the
partition view includes status information of a storage node.
[0107] The processing unit 902 is specifically configured to allocate free storage space
as a log volume, to store an EC block allocated to a storage node to which writing
fails. The log volume includes at least one log block, and a size of the log block
is the same as a size of the EC block.
[0108] As shown in FIG. 10, an embodiment of the present invention further provides a distributed
storage system, including a first storage node 1001 and a second storage node 1002.
[0109] The first storage node 1001 is configured to: obtain to-be-written data and a key
key value of the to-be-written data, update a version number corresponding to the
key value, and perform erasure code EC encoding on the to-be-written data to generate
an EC stripe. The EC stripe includes m+k EC blocks, the m EC blocks are data blocks,
the k EC blocks are check blocks, m is a positive integer greater than or equal to
2, and k is a natural number.
[0110] The first storage node 1001 is further configured to: query a partition view and
determine a secondary storage node corresponding to a partition to which the to-be-written
data belongs. The first storage node 1001 is a primary storage node corresponding
to the partition, and the second storage node 1002 is one of secondary storage nodes
corresponding to the partition.
[0111] The first storage node 1001 is further configured to send a write request to each
secondary storage node. The write request carries a partition ID of the partition
to which the to-be-written data belongs, the key value and the version number of the
to-be-written data, and data of an EC block allocated to each secondary storage node.
[0112] When writing to the second storage node 1002 fails, the first storage node 1001 is
further configured to: store data of an EC block allocated to the second storage node
1002, and generate metadata information corresponding to the EC block allocated to
the second storage node 1002. The metadata information includes the partition ID of
the partition to which the to-be-written data belongs, and the key value and the version
number of the to-be-written data.
[0113] After the second storage node 1002 recovers from a fault, the first storage node
1001 is further configured to send, to the second storage node 1002, the stored data
of the EC block allocated to the second storage node 1002 and the metadata information.
[0114] The second storage node 1002 is configured to store, according to the metadata information,
the data of the EC block allocated to the second storage node 1002.
[0115] A primary storage node in the distributed storage system performs EC encoding on
to-be-written data to generate an EC stripe, and stores, on each storage node, each
EC block in the EC stripe. When a fault occurs on some storage nodes and causes a
write failure of EC blocks, the primary storage node locally stores an EC block allocated
to a storage node to which the write fails and generates metadata information required
for data reconstruction. After the storage node recovers from the fault, the primary
storage node sends, to the storage node, the stored EC block allocated to the storage
node to which the write fails and the metadata information corresponding to the EC
block, so that the storage node that recovers from the fault completes the data reconstruction.
According to the data reconstruction solution in the distributed storage system provided
in this application, when some storage nodes are faulty, there is no need to perform
EC decoding to restore data on the faulty nodes. Instead, the primary storage node
temporarily stores EC blocks allocated to the faulty nodes and sends, after the faulty
nodes recover, the temporarily stored EC blocks to the faulty nodes for data reconstruction.
According to the foregoing solution, consumption of computation resources that results
from EC decoding is avoided when a storage node recovers from a fault and performs
data reconstruction, and consumption of network resources that results from a large
quantity of data transfer is also avoided when EC decoding is performed. For example,
when EC encoding is 4+2, four copies of data are needed for restoring one copy of
data. However, in this application, the primary storage node re-sends one copy of
data to the faulty node after the faulty node recovers, obviously reducing consumption
of network resources. Further, in the distributed storage system, a probability of
losing one copy of data is far greater than that of losing two copies of data, and
when one copy of data is lost, original data can still be restored. Therefore, EC
decoding does not need to be immediately performed to restore the lost data, and after
the faulty node recovers, using the data reconstruction solution provided in this
application can synchronize the data on the faulty node with that on the other storage
nodes.
[0116] In the embodiments corresponding to FIG. 9 and FIG. 10, a storage node is presented
in a form of a function unit/function module. The "unit/module" herein may refer to
an application-specific integrated circuit (application-specific integrated circuit,
ASIC), a circuit, a processor and a memory that execute one or more software or firmware
programs, an integrated logic circuit, and/or another device capable of providing
the foregoing functions. In a simple embodiment, a person skilled in the art may think
that the storage node may be in the form shown in FIG. 2. For example, the obtaining
unit 901, the processing unit 902, and the sending unit 903 may be implemented by
using the processor and the memory in FIG. 2.
[0117] An embodiment of the present invention further provides a computer storage medium,
configured to store computer software instructions used by the device shown in FIG.
9 and FIG. 10. The computer storage medium includes a program involved in executing
the foregoing method embodiments. A data reconstruction method in a distributed storage
system can be implemented by executing the stored program.
[0118] Although the present invention is described with reference to the embodiments, in
a process of implementing the present invention that claims protection, a person skilled
in the art may understand and implement another variation of the disclosed embodiments
by viewing the accompanying drawings, disclosed content, and the accompanying claims.
In the claims, "comprising" (comprising) does not exclude another component or another
step, and "a" or "one" does not exclude a case of multiple. A single processor or
another unit may implement several functions enumerated in the claims. Some measures
are recorded in dependent claims that are different from each other, but this does
not mean that these measures cannot be combined to produce a better effect.
[0119] A person skilled in the art should understand that the embodiments of the present
invention may be provided as a method, an apparatus (device), or a computer program
product. Therefore, the present invention may use a form of hardware only embodiments,
software only embodiments, or embodiments with a combination of software and hardware.
Moreover, the present invention may use a form of a computer program product that
is implemented on one or more computer-usable storage media (including but not limited
to a disk memory, a CD-ROM, an optical memory, and the like) that include computer-usable
program code. The computer program is stored/distributed in a proper medium and is
provided as or used as a part of the hardware together with another hardware, or may
also use another allocation form, such as by using the Internet or another wired or
wireless telecommunications system.
[0120] The present invention is described with reference to the flowcharts and/or block
diagrams of the method, the apparatus (device), and the computer program product according
to the embodiments of the present invention. It should be understood that computer
program instructions may be used to implement each process and/or each block in the
flowcharts and/or the block diagrams and a combination of a process and/or a block
in the flowcharts and/or the block diagrams. These computer program instructions may
be provided for a general-purpose computer, a dedicated computer, an embedded processor,
or a processor of any other programmable data processing device to generate a machine,
so that the instructions executed by a computer or a processor of any other programmable
data processing device generate an apparatus for implementing a specific function
in one or more processes in the flowcharts and/or in one or more blocks in the block
diagrams.
[0121] These computer program instructions may also be stored in a computer readable memory
that can instruct the computer or any other programmable data processing device to
work in a specific manner, so that the instructions stored in the computer readable
memory generate an artifact that includes an instruction apparatus. The instruction
apparatus implements a specific function in one or more processes in the flowcharts
and/or in one or more blocks in the block diagrams.
[0122] These computer program instructions may also be loaded onto a computer or another
programmable data processing device, so that a series of operations and steps are
performed on the computer or the another programmable device, thereby generating computer-implemented
processing. Therefore, the instructions executed on the computer or the another programmable
device provide steps for implementing a specific function in one or more processes
in the flowcharts and/or in one or more blocks in the block diagrams.
[0123] Although the present invention is described with reference to specific features and
the embodiments thereof, obviously, various modifications and combinations may be
made to them without departing from the spirit and scope of the present invention.
Correspondingly, the specification and accompanying drawings are only exemplary description
of the present invention defined by the accompanying claims, and is considered as
any of or all modifications, variations, combinations or equivalents that cover the
scope of the present invention. Obviously, a person skilled in the art can make various
modifications and variations to the present invention without departing from the spirit
and scope of the present invention. The present invention is intended to cover these
modifications and variations provided that they fall within the scope of protection
defined by the following claims and their equivalent technologies.
1. A data reconstruction method in a distributed storage system, comprising:
obtaining, by a first storage node, to-be-written data and a key key value of the
to-be-written data, updating a version number corresponding to the key value, and
performing erasure code EC encoding on the to-be-written data to generate an EC stripe,
wherein the EC stripe comprises m+k EC blocks, the m EC blocks are data blocks, the
k EC blocks are check blocks, m is a positive integer greater than or equal to 2,
and k is a natural number;
querying, by the first storage node, a partition view and determining a secondary
storage node corresponding to a partition to which the to-be-written data belongs,
wherein the first storage node is a primary storage node corresponding to the partition,
and a second storage node is one of secondary storage nodes corresponding to the partition;
sending, by the first storage node, a write request to each secondary storage node,
wherein the write request carries a partition identifier ID of the partition to which
the to-be-written data belongs, the key value and the version number of the to-be-written
data, and data of an EC block allocated to each secondary storage node;
when writing to the second storage node fails, storing, by the first storage node,
data of an EC block allocated to the second storage node, and generating metadata
information corresponding to the EC block allocated to the second storage node, wherein
the metadata information comprises the partition ID of the partition to which the
to-be-written data belongs, and the key value and the version number of the to-be-written
data; and
after the second storage node recovers from a fault, sending, by the first storage
node to the second storage node, the stored data of the EC block allocated to the
second storage node and the metadata information, so that the second storage node
performs data reconstruction.
2. The method according to claim 1, wherein before the storing, by the first storage
node, data of an EC block allocated to the second storage node, the method further
comprises:
determining, by the first storage node, that a quantity of storage nodes to which
writing succeeds is greater than or equal to m.
3. The method according to claim 1, wherein the write request sent by the first storage
node to each secondary storage node further carries an in-block data offset and an
in-block data length of the EC block allocated to each secondary storage node, so
that each storage node writes the data of the EC block according to the data offset
and the in-block data length that are carried in the received write request.
4. The method according to claim 1, wherein before the sending, by the first storage
node to the second storage node, the stored data of the EC block allocated to the
second storage node and the metadata information, the method further comprises:
receiving, by the first storage node, a data synchronization request sent by the second
storage node, wherein the data synchronization request carries the partition ID;
obtaining, by the first storage node from the second storage node, a key value corresponding
to the partition ID and a version number of the key value that are recorded on the
second storage node;
comparing, by the first storage node, a key value corresponding to the partition ID
and a version number of the key value that are recorded on the first storage node,
with a key value corresponding to the partition ID and a version number of the key
value that are obtained from the second storage node, and determining, according to
a comparison result, that data reconstruction needs to be performed; and
sending, by the first storage node according to the metadata information, stored data,
of an EC block corresponding to the key value, for which data reconstruction is needed
and metadata information of the EC block, to the second storage node for data reconstruction.
5. The method according to claim 4, wherein the comparison comprises at least one of
the following:
when the version number corresponding to the key value recorded on the first storage
node is the same as the version number corresponding to the key value obtained from
the second storage node, skipping performing data reconstruction;
when the key value recorded on the first storage node does not comprise the key value
obtained from the second storage node, instructing the second storage node to delete
data corresponding to the key value that is not comprised in the first storage node;
when the version number corresponding to the key value recorded on the first storage
node is greater than the version number corresponding to the key value obtained from
the second storage node, performing a data reconstruction operation; or
when the key value recorded on the first storage node is not comprised in the key
value obtained from the second storage node, instructing the second storage node to
reconstruct the data corresponding to the key value that is not comprised in the second
storage node.
6. The method according to claim 3, after the second storage node recovers from the fault,
further comprising:
writing, by the second storage node, the data of the EC block onto a disk according
to the in-block data offset and the in-block data length of the EC block allocated
to the second storage node, and updating the version number corresponding to the key
value of the to-be-written data.
7. The method according to claim 2, further comprising:
equally dividing a storage address of the logical volume at a granularity of the m
EC blocks, to obtain multiple storage units, and allocating data offset identifiers
to the multiple storage units.
8. The method according to claim 7, wherein before the obtaining, by a first storage
node, to-be-written data, the method further comprises:
receiving, by the storage client, a storage instruction sent by an upper-layer application,
wherein the storage instruction carries to-be-stored data, and a volume identifier,
a data offset, and a data length of the logical volume that stores the to-be-stored
data; and
determining, by the storage client, at least one storage unit corresponding to an
address range within which the to-be-stored data is stored, and using some to-be-stored
data corresponding to each storage unit as the to-be-written data that needs to be
written to the distributed storage system in one write operation.
9. The method according to claim 1, before the querying, by the first storage node, a
partition view, further comprising:
calculating, by the first storage node, a hash value corresponding to the key value
of the to-be-written data by using a consistent hashing algorithm, and determining
a partition ID of a partition to which the hash value belongs; or
obtaining, by the first storage node from a storage client, the partition ID of the
partition corresponding to the to-be-written data.
10. The method according to claim 1, wherein the determining, by the first storage node,
that writing to the second storage node fails comprises:
receiving, by the first storage node, a write failure response returned by the second
storage node, and determining that writing to the second storage node fails; or
determining, by the first storage node according to the partition view, that a status
of the second storage node is faulty, wherein the partition view comprises status
information of a storage node.
11. The method according to claim 1, wherein the storing, by the first storage node, data
of an EC block allocated to the second storage node comprises:
allocating, by the first storage node, free storage space as a log volume, to store
an EC block allocated to a storage node to which writing fails, wherein the log volume
includes at least one log block, and a size of the log block is the same as a size
of the EC block.
12. A storage node, comprising:
an obtaining unit, configured to obtain to-be-written data and a key value of the
to-be-written data, update a version number corresponding to the key value, and perform
EC encoding on the to-be-written data to generate an EC stripe, wherein the EC stripe
comprises m+k EC blocks, the m EC blocks are data blocks, the k EC blocks are check
blocks, m is a positive integer greater than or equal to 2, and k is a natural number;
a processing unit, configured to: query a partition view and determine a secondary
storage node corresponding to a partition to which the to-be-written data belongs,
wherein the first storage node is a primary storage node corresponding to the partition,
and a second storage node is one of secondary storage nodes corresponding to the partition;
and
a sending unit, configured to send a write request to each secondary storage node,
wherein the write request carries a partition ID of the partition to which the to-be-written
data belongs, the key value and the version number of the to-be-written data, and
data of an EC block allocated to each secondary storage node; wherein
the processing unit is configured to: when determining that writing to the second
storage node fails, store data of an EC block allocated to the second storage node,
and generate metadata information corresponding to the EC block allocated to the second
storage node, wherein the metadata information comprises the partition ID of the partition
to which the to-be-written data belongs, and the key value and the version number
of the to-be-written data; and
after the second storage node recovers from a fault, the sending unit is further configured
to send, to the second storage node, the stored data of the EC block allocated to
the second storage node and the metadata information, so that the second storage node
performs data reconstruction.
13. The storage node according to claim 12, wherein the processing unit is further configured
to determine that a quantity of storage nodes to which writing succeeds is greater
than or equal to m.
14. The storage node according to claim 12, wherein
the obtaining unit is further configured to: receive a data synchronization request
sent by the second storage node, wherein the data synchronization request carries
the partition ID, and obtain, from the second storage node, one or more key values
corresponding to the partition ID and a version number of the key value that are recorded
on the second storage node;
the processing unit is further configured to: compare a key value corresponding to
the partition ID and a version number of the key value that are recorded by the processing
unit, with the one or more key values corresponding to the partition ID and the version
number of the key value that are obtained from the second storage node, and determine,
according to a comparison result, that data reconstruction needs to be performed;
and
the sending unit is specifically configured to send, according to the metadata information,
stored data, of an EC block corresponding to the key value, for which data reconstruction
is needed and metadata information of the EC block, to the second storage node for
data reconstruction.
15. The storage node according to claim 14, wherein the processing unit is specifically
configured to perform at least one of the following comparison processing:
when the version number corresponding to the key value recorded on the storage node
is the same as the version number corresponding to the key value obtained from the
second storage node, skipping performing data reconstruction;
when the key value recorded on the storage node does not comprise the key value obtained
from the second storage node, instructing the second storage node to delete data corresponding
to the key value that is not comprised in the storage node;
when the version number corresponding to the key value recorded on the storage node
is greater than the version number corresponding to the key value obtained from the
second storage node, performing a data reconstruction operation; or
when the key value recorded on the storage node is not comprised in the key value
obtained from the second storage node, instructing the second storage node to reconstruct
the data corresponding to the key value that is not comprised in the second storage
node.
16. The storage node according to claim 12, wherein
the processing unit is further configured to: equally divide a storage address of
the logical volume at a granularity of the m EC blocks, to obtain multiple storage
units, and allocate data offset identifiers to the multiple storage units.
17. The storage node according to claim 12, wherein
the obtaining unit is specifically configured to: calculate a hash value corresponding
to the key value of the to-be-written data by using a consistent hashing algorithm,
and determine a partition ID of a partition to which the hash value belongs; or
the obtaining unit is specifically configured to obtain, from a write request sent
by a storage client, the partition ID of the partition corresponding to the to-be-written
data.
18. The storage node according to claim 12, wherein
the obtaining unit is further configured to: receive a write failure response returned
by the second storage node, and determine that writing to the second storage node
fails; or
the obtaining unit is further configured to determine, according to the partition
view, that a status of the second storage node is faulty, wherein the partition view
comprises status information of a storage node.
19. The storage node according to claim 12, wherein
the processing unit is specifically configured to allocate free storage space as a
log volume, to store an EC block allocated to a storage node to which writing fails,
wherein the log volume includes at least one log block, and a size of the log block
is the same as a size of the EC block.
20. A distributed storage system, comprising a first storage node and a second storage
node, wherein
the first storage node is configured to: obtain to-be-written data and a key key value
of the to-be-written data, update a version number corresponding to the key value,
and perform erasure code EC encoding on the to-be-written data to generate an EC stripe,
wherein the EC stripe comprises m+k EC blocks, the m EC blocks are data blocks, the
k EC blocks are check blocks, m is a positive integer greater than or equal to 2,
and k is a natural number;
the first storage node is further configured to: query a partition view and determine
a secondary storage node corresponding to a partition to which the to-be-written data
belongs, wherein the first storage node is a primary storage node corresponding to
the partition, and the second storage node is one of secondary storage nodes corresponding
to the partition;
the first storage node is further configured to send a write request to each secondary
storage node, wherein the write request carries a partition ID of the partition to
which the to-be-written data belongs, the key value and the version number of the
to-be-written data, and data of an EC block allocated to each secondary storage node;
when writing to the second storage node fails, the first storage node is further configured
to: store data of an EC block allocated to the second storage node, and generate metadata
information corresponding to the EC block allocated to the second storage node, wherein
the metadata information comprises the partition ID of the partition to which the
to-be-written data belongs, and the key value and the version number of the to-be-written
data;
after the second storage node recovers from a fault, the first storage node is further
configured to send, to the second storage node, the stored data of the EC block allocated
to the second storage node and the metadata information; and
the second storage node is configured to write, according to the metadata information,
the data of the EC block allocated to the second storage node.